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О компании Nexters: международная компания по разработке игр, входящая в холдинг GDEV, с офисами на Кипре, в Армении и Казахстане, а также возможностью удалённой работы. Обязанности: — Проектирование, создание и поддержка масштабируемых конвейеров данных (batch и streaming) — Поддержка и рефакторинг существующих решений — Основная зона ответственности — Bronze и Silver слои платформы данных — Разработка и поддержка моделей data lake / data warehouse — Оптимизация производительности Spark-джобов — Разработка и поддержка dbt моделей и контрактов данных — Внедрение и поддержка мониторинга, наблюдаемости и проверок качества данных — Работа с Kafka-стриминговыми конвейерами — Взаимодействие с командами аналитики, маркетинга, платформы и бэкенда Требования: — Уверенные навыки SQL и Python — Опыт создания ETL/ELT конвейеров в продакшене — Практический опыт работы со Spark/PySpark, особенно в стриминговых сценариях — Понимание распределённых систем обработки и хранения данных — Опыт работы с архитектурами data lake / data warehouse — Практический опыт с Delta таблицами, Parquet и S3 — Опыт работы с оркестраторами, такими как Airflow или аналогичными — Опыт работы с Kafka и стриминговыми конвейерами — Опыт поддержки и улучшения конвейеров данных в продакшене — Опыт с практиками наблюдаемости, мониторинга и качества данных Условия: — Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы — Медицинская программа для членов семьи при работе в офисах на Кипре, в Армении и Казахстане — Оплачиваемый отпуск и больничные — Возможность работать в офисах или удалённо — Спортивные активности в офисах (йога, футбол, волейбол) — Пакет поддержки релокации при переезде в официальные локации — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в соответствующих офисах — Участие в гейм-джемах, хакатонах, конференциях и митапах — Поддержка социальных инициатив и участие в благотворительных проектах Формат работы: в офисах компании на Кипре, в Армении и Казахстане или удалённо.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house) Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules) Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.  As a Mechanical Engineer II on the Hardware NPI Team at WHOOP, you will contribute to the design and development of WHOOP’s innovative hardware solutions - rechargeable energy accessories. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You’ll work alongside a multidisciplinary team of engineers and designers to help bring innovative concepts to life, supporting prototyping, mechanical design, and testing efforts. You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment while contributing to impactful projects in early-stage product development. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Own critical parts of the next generation Whoop Hardware Products - Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release. - Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly. - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering requests and changes to vendors and contract manufacturers as the product development cycle progresses  - Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability. - Support and perform thorough engineering root cause analyses to identify and resolve issues - Collaborate with senior engineers to evaluate new technologies and manufacturing methods. - Up to 20% travel to contract manufacturers and suppliers internationally QUALIFICATIONS: - Bachelor’s degree in Mechanical Engineering or related field. - 2+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices. - Experience with SolidWorks CAD best practices, including advanced assemblies, complex surfacing, configuration management and applying DFx feedback. - Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models. - Strong communication skills and comfort working with cross-functional teams and external partners. - Experience in high-quality consumer electronics or wearable technologies preferred. - Familiarity with validation testing methods and statistical analysis tools preferred. - Experience with high-volume manufacturing processes (e.g., injection molding, sheet metal design, metal injection molding) and manual assembly preferred.  - Working experience in a fast-paced or startup environment preferred. - A passion for health, or wearable technologies; and designing human-centered solutions in this space.  This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify  https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.  WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at subsystem and component level) of a next generation product  from design concept to manufacturing release - Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.  - Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification  - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses  - Design testing protocols and validation plans, managing testing processes - Perform thorough engineering root cause analyses to identify and resolve issues - Mentorship, engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Staff+ Software Engineer, Developer Acceleration About the Role Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity. Some things that the team owns: Agent Runtime Platform for provisioning and running agents Knowledge for providing relevant internal context to agents and humans Some of our work is mentioned in When AI Builds itself and Building effective human-agent teams . Responsibilities Define the future of agentic productivity at scale and at the frontier Own the technical strategy and roadmap for your area, translating goals into concrete execution Define what quality means for agent-driven engineering work, and hold that line across the company Stay hands-on: build and ship the runtime platform and tooling Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness Write evals to benchmark agent behaviors Deliver impact by collaborating cross-team Own infrastructure scalability and reliability, and establish operational excellence practices You May Be a Good Fit If You: Have 10+ years building and operating large-scale distributed systems Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead Have a lot of experience with agents, eg. agents doing technical/knowledge work Are obsessed with productivity and transforming how we work Have experience building scalable platforms Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition Experience with container or VM orchestration at scale Experience working with researchers and engineers Developer productivity or infrastructure experience, such as CI/CD, builds, etc. Experience building widely adopted CLI tools and services Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers and businesses to grow, discover, and create. IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin. We're now looking for a QA Automation Engineer to join the IntelliJ IDEA Java Build Tools QA team and help ensure the quality of a product that our customers and software engineers around the world rely on daily. Since most Java projects in IntelliJ IDEA are built with Maven or Gradle, Java Build Tools is a critical part of the IDE experience, and your work will affect how smoothly our users can open, sync, build, and run their projects. You'll work alongside QA engineers to design and set up our automation process for Gradle and Maven end-to-end tests, as well as implement and automate test scenarios that catch issues before they reach our users. What you'll do Core responsibilities: Design, develop, and maintain multi-platform and environmental (Linux, Windows, MacOS, Docker, WSL) automated test scenarios. Expand test coverage for new and existing functionality. Debug and troubleshoot test failures. Improve existing automation based on team feedback and reduce test flakiness. Track quality metrics, including testing coverage, failure rate, and flakiness. Contribute to frameworks and tools with product-specific extensions as needed. Help the team monitor test execution results and investigate failures. Participate in release quality assessments. Collaborate with QA and developers to define test strategies. Do manual QA activities when needed. Participate in the test documentation creation. Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope. Share automation best practices with the team. Work with the tooling team to adopt new frameworks and practices. What we're looking for Required skills: Proven experience in test automation. Solid programming skills in Kotlin/Java. Experience with test frameworks like JUnit or TestNG. Familiarity with build tools, like Maven and Gradle. An understanding of software testing principles and methodologies. Familiarity with CI/CD tools (TeamCity or similar). Experience with reporting tools (Allure or others). Version control experience (Git). Proficiency in spoken and written English. Responsibility, self-discipline, and self-learning skills. Strong teamwork skills. The ability to work independently, creatively, and on your own initiative. Nice to have: Experience testing developer tools, IDEs, and desktop applications. Familiarity with JVM Frameworks (Spring or Jakarta) and databases. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family. Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: San Francisco, United States Founding Design Engineer Location: San Francisco, CA (On-site, 5 days/week) Compensation: $150,000–$250,000 Base + Equity (0.4–0.8%) About the Opportunity An early-stage, venture-backed AI startup is seeking a Founding Design Engineer to become its first design-focused engineering hire. This is a unique opportunity to own the end-to-end user experience for a highly technical AI platform, defining the product's design language while building production-ready frontend applications. Working directly with the founding team, you'll help shape the future of an AI-native enterprise platform by combining exceptional product design with hands-on frontend engineering. What You'll Do Own product design and frontend implementation from concept to production. Design and build production-ready interfaces using React and TypeScript . Establish the company's design language, design system, and UX patterns. Collaborate closely with founders to build intuitive experiences for complex technical workflows. Design for enterprise B2B software, platform products, and AI-powered user experiences. What We're Looking For 1 -​ 5 years of experience in design,​ recent experience shipping frontend code in React/TypeScript Experience at a venture-​backed early-​stage startup or fast-​paced high-​growth company Has a self-​driven project with real users (portfolio,​ side project,​ or startup) Experience at an early-stage startup or other fast-paced environment. Experience designing technical products such as developer tools, enterprise SaaS, infrastructure, platform software, or AI products. Self-starter who thrives in an ownership-driven environment with minimal direction. Design/Arts/CS degree Skills Tech stack React, TypeScript, Figma, Tailwind CSS PLUS Next.js Figma Experience with design systems and component libraries. Familiarity with AI, agentic workflows, or Human-Computer Interaction (HCI) principles. Visa Sponsorship The company can support: H-1B transfers O-1 visas TN visas J-1 visas Please note that new H-1B sponsorship is not available. Why Join? Be the first Design Engineer and help define the product from the ground up. Own both design and implementation without traditional design handoffs. Work directly with an experienced founding team in a collaborative, high-impact environment. Receive competitive compensation and meaningful equity while helping build a category-defining AI product. Salary: $150 – $250 / year

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work. Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job. We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet. You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build the core primitives that enable knowledge workers across industries and roles to meaningfully leverage Claude You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Вести техническое направление ключевого фронтенд-направления на мобильных и веб-платформах на протяжении всего жизненного цикла продукта. — Разрабатывать архитектуру общего React Native монорепозитория для повышения эффективности и производительности. — Руководить и наставлять компактную, автономную, кросс-функциональную команду. — Комплексно решать задачи, учитывая бизнес-цели, UX-ограничения и платформенные лимиты. — Обеспечивать производительность, доступность и устойчивость на широком спектре устройств. — Внедрять улучшения качества продукта и инженерных процессов во всей фронтенд-организации. Требования: — Опыт руководства разработкой и выпуском сложных, востребованных клиентских фронтенд-продуктов. — Подтвержденный опыт лидерства, коучинга и наставничества инженеров-программистов. — Глубокие знания TypeScript и React Native или React/Next.js. — Продвинутые знания паттернов управления состоянием, таких как TanStack Query, Zustand или Redux. — Хорошее понимание кроссплатформенных фронтенд-задач, включая оптимизацию производительности, рендеринг и анимации. — Опыт проектирования масштабируемых фронтенд-решений. Желательно: — Опыт работы с монорепозиториями и системами общих компонентов. — Опыт нативной мобильной разработки (Swift/Kotlin). — Опыт работы с CI/CD пайплайнами и инструментами для разработчиков в масштабах. — Опыт с Reanimated/RNGH для сложных анимаций. — Опыт работы с WebSockets или паттернами реального времени. Условия: — Щедрый пакет вознаграждения, включая ежегодные бонусы. — Отличный социальный пакет, включая частную медицинскую страховку. — 25 дней оплачиваемого отпуска в год. — Возможность существенно влиять на продукт, используемый миллионами. — Сотрудничество с высокоэффективными коллегами.

Задачи: — Проектировать и развивать весь рендер-пайплайн (PBR, HDRI/IBL, post-processing, tone mapping). — Разрабатывать архитектуру render graph / pass system. — Отвечать за GLB/material pipeline и систему материалов. — Писать и оптимизировать шейдеры (WGSL / GLSL / TSL). — Интегрировать 3D-движок в React + TypeScript приложение. — Оптимизировать производительность, особенно на мобильных устройствах. — Определять техническое направление и проводить code review. Требования: — Коммерческий опыт с vanilla Three.js (не R3F), включая WebGPU. — Глубокое понимание WebGPU, WebGL2 и GPU pipeline. — Уверенное владение шейдерами (WGSL / GLSL / HLSL / Metal). — Практический опыт с PBR, HDRI/IBL, post-processing. — Знание MRT, render targets, G-buffer, color management. — Опыт профилирования GPU и оптимизации мобильной графики. — Сильные навыки TypeScript, React и архитектуры приложений. Будет плюсом: — Render Graph. — glTF/GLB optimization (Draco, meshopt, KTX2). — Compute shaders, TAA, GPU-driven rendering. — Open Source вклад в Three.js или WebGPU. Условия: — Полностью удаленный формат работы из любой точки мира. — Технологически сложный продукт. — Оплата профильного обучения, курсов (внешние и внутренние). — Конкурентная заработная плата (по результатам технического интервью). — Оплачиваемые отпускные дни: 36 дней в год. — Оплачиваемые больничные. — Приятные бонусы.

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is €117,600 - €141,120.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role summary   As a Platform Security Engineer on the Security team, you will architect and maintain the security posture of our rapidly scaling AI infrastructure and application lifecycle. Security is not a gate but an enabler, and you will embed robust controls into our continuous integration and deployment pipelines, infrastructure environments, and developer workflows to protect our systems without sacrificing velocity. Your role exists to ensure that our research and engineering teams can move fast while staying secure. You will shape how security integrates with every layer of our stack, from code to cloud, making secure practices invisible to developers and automatic by default.     What you will do   - Drive threat modeling and risk prioritization exercises as the security counterpart in system-design reviews for core infrastructure and new products. - Own end-to-end vulnerability management across continuous integration and deployment pipelines and runtime environments, covering infrastructure and applications. - Secure our container orchestration deployments and containerized workloads, implementing advanced hardening to prevent lateral movement across distributed systems. - Define and enforce Infrastructure-as-Code security by building robust guardrails and integrating policy-as-code directly into deployment pipelines. - Design and execute a comprehensive security tooling strategy, managing solutions for cloud-native application protection, cloud security posture, static code analysis, dependency scanning, secrets management, and vulnerability tracking. - Champion developer enablement by building secure defaults, streamlining remediation workflows, and drafting actionable security guidelines. - Build foundational security automation to scale alongside hyper-growth, minimizing manual overhead while establishing a pragmatic security culture.   What we're looking for:   - Five or more years of experience in Platform Security, Security Engineering, or Cloud Security, ideally as an early security hire in a fast-scaling environment. - Deep understanding of container orchestration and container security, alongside strong experience securing Infrastructure-as-Code across major cloud providers. - Strong programming and scripting skills in languages such as Python or Go to build security automation and integrate diverse security tools into developer workflows. - Extensive experience deploying and tuning modern security tooling with a pragmatic approach to vulnerability management and threat modeling. - Strong communication skills with a proven track record of partnering with developers and researchers to embed secure defaults without creating engineering friction. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.   Ми шукаємо нового гравця до QA підрозділу на позицію Embedded/Hardware Engineer, який однаково впевнено почувається у розробці електроніки та embedded software. Команда автоматизує тестування фізичних пристроїв Ajax Systems, розробляючи електронні тестові стенди, що забезпечують швидку та якісну перевірку продукції. Якщо вам цікаво проєктувати архітектуру пристроїв з нуля, працювати з аналоговими й цифровими схемами, розробляти PCB та писати firmware без зайвих абстракцій — будемо раді познайомитися. Наш ідеальний кандидат має: від 2 років комерційного досвіду розробки PCB в Altium Designer; впевнені знання аналогової та цифрової схемотехніки; досвід роботи зі інтерфейсами передачі даних; знання сучасної елементної бази; глибоке розуміння архітектури STM32, ARM Cortex-M та практичний досвід роботи з CMSIS; відмінне знання C (C++ буде перевагою); впевнене володіння Git; вміння самостійно проєктувати технічні рішення — від вимог до готового виробу. Основними задачами будуть: проєктування архітектури пристроїв за технічним завданням; підбір компонентів та схемотехнічних рішень; розробка і моделювання аналогових та цифрових схем (LTSpice, Tina TI або інші); розробка PCB в Altium Designer (2–4 шари), налаштування проєктів під вимоги виробництва, робота зі швидкісними інтерфейсами та імпеданс-контрольованими лініями (50/100 Ом); розробка firmware для STM32 на CMSIS без використання HAL як основного фреймворку; робота з Git (репозиторії, merge, права доступу, Git LFS, gitignore). Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; місце у стрімко зростаючій компанії з вмотивованою професійною командою; конкурентну заробітну плату; медичне страхування; корпоративні заняття з англійської мови; можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; знижки на продукти компанії та партнерів. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Задачи: — Разрабатывать и внедрять классические ML-модели для оценки рисков, выявления мошенничества, прогнозирования оттока и ценообразования. — Создавать функции на базе больших языковых моделей (LLM) и внутреннюю автоматизацию с использованием RAG-пайплайнов и агентных рабочих процессов. — Определять стратегию в области искусственного интеллекта, включая стандартизацию инструментов и разработку фреймворков оценки моделей. — Отвечать за полный жизненный цикл ML: от определения требований заинтересованных сторон до развертывания и мониторинга. — Сотрудничать с руководителем отдела данных для формирования возможностей ML/AI с нуля. Требования: — Опыт профессиональной работы ML-инженером не менее 4 лет с использованием Python в продакшене. — Глубокие знания классического машинного обучения, включая инженеринг признаков и валидацию моделей. — Практический опыт работы с фреймворками LLM, такими как LangChain, LangGraph или LlamaIndex. — Подтвержденный опыт создания систем RAG или продуктов на базе LLM для реальных пользователей. — Опыт работы с основными облачными провайдерами (AWS, GCP, Azure) и контейнерами. — Свободное владение английским языком в письменной и устной форме. Желательно: — Опыт работы с MLOps-инструментами, такими как MLflow, Airflow или Kubernetes. — Опыт работы в сферах финтеха, платежей или телекоммуникаций. Условия: — Комплексный страховой пакет, включающий медицинское, стоматологическое и профессиональное страхование. — 30 дней ежегодного отпуска и дополнительная оплата по уходу за ребенком. — Пособие на оздоровление в размере 5000 SEK и скидки на абонементы в спортзал. — Пенсионный план и программа бонусов на основе результатов работы. — Международная и разнообразная команда в Стокгольме.

Задачи: — Обеспечивать надёжность и доступность сервисов на bare metal с Kubernetes поверх железа — Строить и поддерживать observability (Prometheus, Grafana, Loki): метрики, дашборды, алерты, SLO/SLI — Реагировать на инциденты, проводить post-mortem и устранять причины, а не симптомы — Тюнить PostgreSQL и другие БД под продакшен-нагрузку, искать боттлнеки — Поддерживать CI/CD (GHES, ArgoCD), снижать время и риск деплоев — Сетевая инфраструктура: маршрутизация, сегментация, балансировка нагрузки, безопасность — On-premise и air-gapped поставки (~10%) — Capacity planning и работа над снижением toil — Безопасность, которая не тормозит команду — Взаимодействие с командой разработки и инженерами клиентов Требования: — Глубокий опыт bare metal — без облачных абстракций — Понимание внутреннего устройства Kubernetes, а не только манифестов — Опыт устранения продакшен-инцидентов под давлением, умение быстро находить root cause — Тюнинг БД под нагрузкой (приоритет — PostgreSQL) — Опыт построения observability и систем алертинга с нуля — Опыт on-prem и air-gapped развёртываний — Сети: L2/L3, routing, firewall, VPN — Продакшен Linux troubleshooting — Подход security-mindset с балансом на скорость доставки — Высокая автономность при работе с незнакомым стеком — Видение инфраструктуры за пределами текущей задачи — Английский B2+ Будет плюсом: — Опыт с GPU-кластерами для AI — Ceph/ZFS/распределённые хранилища — Опыт hardening/compliance для гос. заказчиков — Air-gap CI/CD Не ищем: — YAML-инженеров, которые только применяют готовые манифесты. Нужен человек, который понимает, что происходит под капотом — и готов первым встать ночью, если что-то упало.

Constructor разрабатывает платформу для образования и научных исследований. Размер команды — 2000+. Вакансия: Frontend Engineer (Intern). Требуемые технологии: HTML, CSS, JavaScript, React, Vue.js, Angular. Возможность работать удаленно или в офисах в Германии, Сербии и других странах.

Location: UK, London; US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.